Machine Learning Engineer – Ship Design & Hydrodynamics (KTP Associate)
- Location
- Southampton, England, United Kingdom
managing a series of work packages. Develop and validate fast, physics-informed models for predicting ship resistance, propulsion performance and energy efficiency using CFD and benchmark data. Design and implement multidisciplinary optimisation methods, integrating them into NeuralShipper as robust and scalable software tools for automated vessel design improvement. Extend NeuralShipper … languages desirable . Experience with a deep learning framework such as PyTorch, TensorFlow, or JAX (desirable). Experience with engineering simulation tools relevant to CFD, hydrodynamics, or vessel performance, such as STAR-CCM+. Understanding of naval architecture, ship hydrodynamics, vessel performance, or design analysis. Experience in physics-informed machine learning ...